Gini Indices II and III: Two new Sparsity Measures and Their Applications to Machine Condition Monitoring

A Comparison of Machine Health Indicators Based on the Impulsiveness of Vibration Signals

(2021) Bingchang Hou et al.   Acoustics Australia

Blind filters based on envelope spectrum sparsity indicators for bearing and gear vibration-based condition monitoring

(2020) Cédric Peeters et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An Integrated Feature-Based Failure Prognosis Method for Wind Turbine Bearings

(2020) Milad Rezamand et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Research on sparsity indexes for fault diagnosis of rotating machinery

(2020) Yonghao Miao et al.   MEASUREMENT

Machinery Health Monitoring Based on Unsupervised Feature Learning via Generative Adversarial Networks

(2020) Jun Dai et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Investigations on quasi-arithmetic means for machine condition monitoring

(2020) Bingchang Hou et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

General normalized sparse filtering: A novel unsupervised learning method for rotating machinery fault diagnosis

(2019) Zongzhen Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Application of Spectral Kurtosis and Improved Extreme Learning Machine for Bearing Fault Classification

(2019) Sandeep S. Udmale et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Step-by-Step Compound Faults Diagnosis Method for Equipment Based on Majorization-Minimization and Constraint SCA

(2019) Yansong Hao et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Data Fusion Method Based on Mutual Dimensionless

(2018) Jianbin Xiong et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Novel Particle Swarm Optimization-Based Variational Mode Decomposition Method for the Fault Diagnosis of Complex Rotating Machinery

(2018) Xian-Bo Wang et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Spectral L2 / L1 norm: A new perspective for spectral kurtosis for characterizing non-stationary signals

(2018) Dong Wang   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Some further thoughts about spectral kurtosis, spectral L2 / L1 norm, spectral smoothness index and spectral Gini index for characterizing repetitive transients

(2018) Dong Wang   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

(2018) Biao Wang et al.   IEEE TRANSACTIONS ON RELIABILITY

Application of multi-domain sparse features for fault identification of planetary gearbox

(2017) Chuan Zhao et al.   MEASUREMENT

Improvement of kurtosis-guided-grams via Gini index for bearing fault feature identification

(2017) Yonghao Miao et al.   MEASUREMENT SCIENCE and TECHNOLOGY

A recurrent neural network based health indicator for remaining useful life prediction of bearings

(2017) Liang Guo et al.   NEUROCOMPUTING

An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data

(2016) Yaguo Lei et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications

(2016) Yanxue Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

The infogram: Entropic evidence of the signature of repetitive transients

(2016) Jerome Antoni   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings

(2015) Naipeng Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fault diagnosis of rotating machinery based on the statistical parameters of wavelet packet paving and a generic support vector regressive classifier

(2013) Changqing Shen et al.   MEASUREMENT

A novel method for the optimal band selection for vibration signal demodulation and comparison with the Kurtogram

(2010) Tomasz Barszcz et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Comparing Measures of Sparsity

(2009) Niall Hurley et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

An Introduction To Compressive Sampling

(2008) E.J. Candes et al.   IEEE SIGNAL PROCESSING MAGAZINE